My research is focused on development of new efficient methods for molecular and mesoscale simulations with applications to enhanced oil recovery, focusing on polymers, surfactants, geological organic matter (kerogen). Since joining Skoltech in 2018, I am working on data-driven modeling, which incorporates classical deterministic methods, such as molecular dynamics or finite elements and machine learning. These hybrid methods are applied in computational design of compounds for EOR.
After obtaining PhD, I worked as a scientist at a small research company located in NJ, and later at Rutgers University as a research professor. I co-authored about 75 journal papers and numerous research reports on different projects. Because I enjoy working on live practical topics, Skoltech attracts me by strong connections to industry, not to mention students of talent and academic preparation and computer facilities.
Research areas:
Key publications:
Bruna Faria — PhD student, started AY 2018-2019 (Statistical Mechanics of macromolecules, mesoscale simulations)
Andrew Olhin — PhD student, AY 2019-2020 (Multiphase flows in porous media)
Dmitry Beloborodov — (PhD student) porous materials
Ilya Kopanichuk — engineer (polymers, surfactants)
Peter Hovental — engineer (wetting | spreading at pore scale)
Currently:
Coming in the following academic year